CMU Artificial Intelligence Repository
RCC: Recurrent Cascade-Correlation Learning Algorithm in
Lisp and C
areas/neural/systems/rcc/
This directory contains Lisp and C implementations of the recurrent
cascade-correlation learning algorithm. The original Lisp version was
written by Scott Fahlman. It was then ported to C by Scott Crowder.
This directory contains the C version modified by Conor Doherty.
Origin:
ftp.cs.cmu.edu:/afs/cs.cmu.edu/project/connect/code/
as the files rcc1.lisp and rcc1.c
and in /afs/cs.cmu.edu/project/connect/tr/ as rcc-tr.ps.Z
Version: Lisp 1.0 (10-OCT-91); C 2.0 (7-OCT-91)
Requires: Lisp, C
Copying: Public Domain
CD-ROM: Prime Time Freeware for AI, Issue 1-1
Author(s): Scott Fahlman
Conor Doherty
Department of Computer Science
University College Dublin
Ireland
R. Scott Crowder
Keywords:
Authors!Crowder, Authors!Doherty, Authors!Fahlman, C!Code,
CMU, Cascade Correlation, Lisp!Code, Machine Learning,
Machine Learning!Neural Networks, Neural Networks,
Public Domain, RCC, Recurrent Cascade Correlation
References:
Scott E. Fahlman, "The Recurrent Cascade-Correlation
Learning Architecture", in D. S. Touretzky, editor, "Advances in
Neural Information Processing Systems 3", Morgan Kaufmann, 1991. A
somewhat longer version is available as CMU Computer Science Tech
Report CMU-CS-91-100, a copy of which is included in the distribution.
Last Web update on Mon Feb 13 10:25:33 1995
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